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Trong Thang

As seen in: arXiv
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Articles by Trong Thang

Computer Science > Computer Vision and Pattern Recognition

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By Trong Thang
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Computer Science > Robotics

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By Trong Thang, Minh Nhat, Minh Nhật, Duy Ho
| arXiv
[Submitted on 27 Dec 2025 (v1), last revised 24 Apr 2026 (this version, v2)] View PDF HTML (experimental) Comments: Subjects: Robotics (cs.RO) Cite as: arXiv:2512.22519 [cs.RO] (or arXiv:2512.22519v2 [cs.RO] for this version) https://doi.org/10.48550/arXiv.2512.22519
Open in Who Shared View Duplicates (586) Issue with article?

GazeSearch: Radiology Findings Search Benchmark

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By Trong Thang
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (389) Issue with article?

CattleFace-RGBT: RGB-T Cattle Facial Landmark Benchmark

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By Trong Thang
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (492) Issue with article?

I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses

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By Trong Thang
| arXiv
[Submitted on 24 Sep 2023 ( v1 ), last revised 9 Dec 2023 (this version, v4)] Title:I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses Download a PDF of the paper titled I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses, by Trong Thang Pham and 4 other authors Download PDF HTML (experimental) Abstract:In the field of chest X-ray (CXR) diagnosis, existing works often...
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